Extended Validation (EV) vs. Domain Validated (DV) Certificates

by | Mar 9, 2017 | CCNA, CCNP, CompTIA, Data Breaches and Prevention, Malware Prevention, Online Banking Security, Phishing

EV SSL Certificates

What is the Extended Validation (EV) certificate?

We need to use encrypted communication protocols like SSL/TLS and SSH to transfer sensitive data between two hosts. And, public-key cryptography is used to initiate communication in those protocols.

In a secured protocol like SSL/TLS or SSH, usually the client initiates the connection. The server sends its digital certificates to the client. A digital certificate is basically an electronic document that is issued by an authority called the Certificate Authority or CA. And it vouches for the authenticity of the public key of the entity.

An Extended Validation certificate or EV certificate is also a digital certificate issued by a Certificate Authority or CA. An EV certificate can safeguard users from attacks like phishing in a better way than a commercially available Domain Validated Certificate or DV certificate.

What is the Domain Validated (DV) certificate?

A Domain Validated (DV) certificate is also a digital certificate issued by a CA. However, DV certificates are commercially more economical and involve relatively less verification of the identity of the applicants. In Domain Validated certificates, most of the time, the identity verification of the applicant is done in an automated way. It verifies only the registration of the website’s domain.

Security concerns of Domain Validated (DV) certificates

It is easier for an attacker to exploit Domain Validated (DV) certificates than Extended Validation (EV) certificates. For example, an attacker can easily register a domain named facebok.com (please note the difference in spelling) and create a malicious webpage that looks very similar to the authentic website. Then, they can send the link to their website to victims using social engineering. Thus, they can trick victims into providing login credentials on the fraudulent website, following which they can easily steal sensitive data.

As the previous versions of web browsers could not differentiate between fully validated SSL certificates or EV certificates and Domain Validated SSL certificates or DV certificates, it would become much more difficult for users to identify this type of phishing attack.

The difference between Extended Validation (EV) certificates and Domain Validated (DV) certificates

If we think from an encryption perspective, there is no difference between Extended Validation (EV) …

Pages: 1 2
Facebooktwitterredditpinterestlinkedinmail

Related posts:

Certificate ChainWhat is a Certificate Chain and how does it work? Offline Root CAWhat is an Offline Root Certificate Authority and how does it work? Certificate TransparencyWhat is Certificate Transparency and how does it work? What is a Digital CertificateWhat is a Digital Certificate? Domain HijackingWhat is Domain Hijacking and how to prevent it? PKI and BlockchainPublic Key Infrastructure (PKI) and Blockchain DNSHow does the Domain Name System (DNS) work? Certificate Based AuthenticationWhat is certificate-based authentication and how does it work? HPKPWhat is HTTP Public Key Pinning (HPKP) and how does it work? Domain ShadowingWhat is Domain Shadowing and how does it work? SSL InspectionWhat is SSL Inspection? SSLHow does the SSL protocol work? TyposquattingWhat is typosquatting or URL hijacking and how to prevent it? IDN SpoofingWhat is the IDN Homograph Attack and how does it work? PhishingAnalysis Of A Phishing Email PharmingWhat is pharming and how to prevent it?

Calculate the pseudoinverse of a matrix using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

What is the pseudoinverse of a matrix? We know that if A is a square matrix with full rank, then A-1 is said to be the inverse of A if the following condition holds: $latex AA^{-1}=A^{-1}A=I $ The pseudoinverse or the Moore-Penrose inverse of a matrix is a...
Read More

Cholesky decomposition using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

What is Cholesky decomposition? A square matrix A is said to have Cholesky decomposition if it can be written as a product of a lower triangular matrix and its conjugate transpose. $latex A=LL^{*} $ If all the entries of A are real numbers, then the conjugate...
Read More

Tensor Hadamard Product using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

In one of our previous articles, we already discussed what the Hadamard product in linear algebra is. We discussed that if A and B are two matrices of size mxn, then the Hadamard product of A and B is another mxn matrix C such that: $latex H_{i,j}=A_{i,j} \times...
Read More

Perform tensor addition and subtraction using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

We can use numpy nd-array to create a tensor in Python. We can use the following Python code to perform tensor addition and subtraction. import numpy A = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) B = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) C =...
Read More

How to create a tensor using Python?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

What is a tensor? A tensor is a generalization of vectors and matrices. It is easily understood as a multidimensional array. For example, in machine learning, we can organize data in an m-way array and refer it as a data tensor. Data related to images, sounds, movies,...
Read More

How to combine NumPy arrays using horizontal stack?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

We can use the hstack() function from the numpy module to combine two or more NumPy arrays horizontally. For example, we can use the following Python code to combine three NumPy arrays horizontally. import numpy A = numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) B =...
Read More

How to combine NumPy arrays using vertical stack?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

Let’s say we have two or more NumPy arrays. We can combine these NumPy arrays vertically using the vstack() function from the numpy module. For example, we can use the following Python code to combine three NumPy arrays vertically. import numpy A = numpy.array([[1, 2,...
Read More

Singular Value Decomposition (SVD) using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

What is Singular Value Decomposition (SVD)? Let A be an mxn rectangular matrix. Using Singular Value Decomposition (SVD), we can decompose the matrix A in the following way: $latex A_{m \times n}=U_{m \times m}S_{m \times n}V_{n \times n}^T $ Here, U is an mxm matrix....
Read More

Eigen decomposition of a square matrix using Python

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

Let A be a square matrix. Let’s say A has k eigenvalues λ1, λ2, ... λk. And the corresponding eigenvectors are X1, X2, ... Xk. $latex X_1=\begin{bmatrix} x_{11} \\ x_{21} \\ x_{31} \\ ... \\ x_{k1} \end{bmatrix} \\ X_2=\begin{bmatrix} x_{12} \\ x_{22} \\ x_{32} \\ ......
Read More

How to calculate eigenvalues and eigenvectors using Python?

by | October 3, 2023 | Featured, Linear Algebra | 0 Comments

In our previous article, we discussed what eigen values and eigenvectors of a square matrix are and how we can calculate the eigenvalues and eigenvectors of a square matrix mathematically. We discussed that if A is a square matrix, then $latex (A- \lambda I) \vec{u}=0...
Read More

Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

0 Comments

Submit a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Not a premium member yet?

Please follow the link below to buy The Security Buddy Premium Membership.

Buy Premium Membership

Featured Posts

Translate »